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Michelle Malonza

ILINA Program

Research Associate, Head of Policy

The Mandrake, Ring Rd Parklands, Nairobi

Workstyle

Nairobi, 00509

Kenya

SCHOLARLY PAPERS

1

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1,439

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Scholarly Papers (1)

AI Epistemic Risks: Emerging Mechanisms & Evidence

Number of pages: 97 Posted: 04 Jun 2026
University of Pennsylvania, Massachusetts Institute of Technology (MIT), University of California, Berkeley - Center for Human-Compatible AI, Cornell University, Stony Brook University, Imperial College London, University of Washington, University of Oxford, Carnegie Mellon University, University of Oxford, University of Cambridge, Massachusetts Institute of Technology (MIT), FAR.AI, FAR.AI, University of Oxford, Tony Blair Institute for Global Change, FAR.AI, ILINA Program, Stanford University, Massachusetts Institute of Technology (MIT), Carnegie Mellon University, Massachusetts Institute of Technology (MIT) - Electrical Engineering and Computer Science, Carnegie Mellon University, McGill University, University of Montreal - Université de Montreal, Cornell University, Carnegie Mellon University, Cornell University, University of Montreal - Department of Informatics and Operations Research and FAR.AI
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Abstract:

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AI, LLM, epistemic, risks, cognitive, neuroscience, reasoning, decision-making, learning, education, feedback loops, echo chambers, human-AI, AI-AI, interaction, HCI, homogenization, algorithmic monoculture, fragmentation, policy, AI safety, AI ethics, metascience, alignment, value alignment, pluralistic alignment, socioaffective, RLHF, reinforcement learning, psychology, persuasion, manipulation, political, influence, misuse, misalignment, incentives, institutions, knowledge commons, data commons, information environment